Samiullah Shah ¹, Vijdan Khalique ¹, Salahuddin Saddar ¹, Naeem A. Mahoto ¹

Affiliations
1 Mehran University of Engineering and Technology, Jamshoro, Sindh, PK

Abstract

Objectives: This paper proposes a framework that transforms the structural crime related data into effective visual reports to strengthen the pro-active activities of law enforcement agencies. Methods/Statistical Analysis: The information visualization depends on the input data. The visualization engine, as proposed in this research work, processes all the data to produce crime information instrumental for the law-enforcing agencies and present it in three different formats: 1) Statistically summarized reports in graphical formats, 2) Heat-maps of crimes and 3) Clusters of crime patterns based on geo-locations. Findings: The visual crime analysis information may also help the policy-makers to gain depth knowledge about crime types, their timings at certain regions. This insight knowledge may improve the performance of law enforcement agencies in reducing crime rate and utilizing resources efficiently. Especially, it performs comprehensive processing of crime information to detecting heat-maps of crimes, clustering crime patterns and presenting it by means of information visualization techniques. Application/Improvements: Law enforcement agencies can use the system to have comprehensive, consolidated and chronologically view of all types of reported criminal activities.

Keywords

Crime Information, Data Visualization, Heat Maps, Information Visualization

Full Text

   

Sadaquat Ali Ruk ¹, Sehar Gul Khan ², Salahuddin Saddar ², Naeem Ahmed Mahoto ², Syed Maqsood Zia Shah ¹, Samiullah Brohi ²

Affiliations
1 Shah Abdul Latif University Khairpur, Ghotki Campus, Sindh-65110, PK
2 Mehran University of Engineering and Technology, Jamshoro, Sindh-76062, PK

Abstract

Objectives: The paper aims a cost effective infrastructure for accurate analysis of route with security perspective. A cost effective system is the necessity in the developing countries. Methods: The application exploits the cyberspace information in order to locate the safest route to be chosen from source to destination and ensure people who want to reach home in minimum time. Also the route information is crawled through the internet. Different parameters have been identified in order to evaluate the risk conditions for some selected alternative. Findings: By increasing the number of attributes affecting the route selection better results can be mined from the available news set. Novelty/Improvement: Combining and investigating the nature of event over some specific place may reveal the criminal activities at some point.

Full Text

   

Rabia Naz Khan ¹, Mohsin Ali Memon ¹, Hira Abid Khan ¹, Salahuddin Saddar ¹

Affiliations
1 Department of Software Engineering, Mehran University of Engineering and Technology, Jamshoro, PK

Abstract

Objectives: This research has been carried out to add interactivity and information transfer in digital format by adding technology in legacy paper based notice board system. Methods/Statistical Analysis: To achieve the above-mentioned objective, we have used Hand gesture recognition Technology. A Microsoft Kinect sensor is placed in front of the notice board to detect hand gestures which serves as the medium of interactivity. Through specified American Sign Language Number gestures user can make selections and interact with the system. For the detection of gestures Visual gesture Builder has been used which implements AdaBoost Trigger Algorithm. This framework uses Data Driven Machine Learning Algorithm to detect gestures. For the analysis, training and testing of the framework we have collected Gestures data for each predefined American Sign Language Number gestures from 0–9, from both Left and right hands, from 49 people. The machine learning algorithm was trained by 80% of the gesture data and was tested by rest 20% gestures. The approach got varying Confidence value (accuracy values) for each gesture depending on varying hand space, hand size, person’s height, clarity in gesture performance. The framework also tested based on both male and female candidates, the result for gender-based analysis is also formulated in graph. The confidence values vary from gesture to gesture for both male and female. Findings: The research come out with the results that this technique can be used to optimize and make static paper based notice boards system interactive. With this technique user is able to transfer the information or notice posted on the notice board to their digital platform by making selection and commanding using their hand gestures. This enabled the user to negotiate without changing the whole business model. Application/Improvements: This framework can be implemented on places where notice boards are used to deliver information to the users for example. Institutes, hospitals, stations etc. Using this system the user can easily interact with the notice boards and transfer information to their digital means.

Full Text